Course: "Experimental evolution: bringing theory and practice together”
Group picture from the past 2019 Vienna edition
Schedule and venue: December 5-9, 2022
Sunday: suggested arrival
Saturday: suggested departure
Detailed schedule tba
The venue for the practical sessions will be the computer room of the Institute of Population Genetics (Institut für Populationsgenetik) at the University of Veterinary Medicine Vienna (Vetmeduni), accessible at the 4th floor of the campus building HA. The venue for the talks will be announced in due time. All areas have step-free access.
Link to campus map here
The Vienna Graduate School of Population Genetics is now accepting applications for the course "Experimental evolution: bringing theory and practice together” at the University of Veterinary Medicine in Vienna, December 5-9, 2022.
Experimental evolution is extensively used to address questions of evolutionary biology by exposing evolving populations to different environmental conditions. It offers the opportunity to replicate experiments and test for convergent outcomes. With the recent drop in DNA sequencing cost and the advance of sequencing technologies, the combination of experimental evolution with next generation sequencing of pools of individuals (Evolve & Resequence) has become a state-of-the-art method to link phenotypic responses to genetic changes. Although the availability of replicated time series data is one key advantage of E&R, the analysis of such data sets is still in its infancy. This course will introduce the participants to several new approaches for the analysis of genomic time series data covering the latest software tools as well as required statistical and computational skills.
The course is targeted towards researchers interested in experimental evolution combined with NGS and will cover the design of experimental evolution studies as well as the analysis of Pool-Seq time series data.
The course aims to introduce participants to:
State-of-the-art software packages
Modelling of neutral data
Identifying selected regions
Haplotypes reconstruction from time-series data
Estimating selection coefficients
Calling transposable elements in time series data
Inferring selection in transcriptomics data
Morning lectures by internationally renowned faculty will be followed by computer practicals on the analysis of experimental evolution data in the afternoon.
Christian Schlötterer (Vetmeduni Vienna, A): topic tba
Henrique Teotónio (IBENS, FR): topic tba
Paul Schmidt (University of Pennsylvania, US): topic tba
Ron Bassar (Auburn University,US): topic tba
Megan Behringer (Vanderbilt University, US): topic tba
Call for participants: applications are open until the end of September 2022. The course is free but will be restricted for the practical sessions (hands on computer lab). Additional seats will be available for attending the lectures, only. Students and researchers are invited to apply by submitting a single .pdf file containing 1) a short CV, 2) a motivation letter and a statement of computer skills to by September 30, 2022. Confidence in working with Unix command line as well as R, is strongly recommended for the practicals.
If you wish to attend the lectures, only, please sign up by completing this form: https://forms.gle/RTh9bkwcnqFZovFUA, as space is limited!
Participants are expected to arrange their own accommodation.